Department: AI Agent Research Center 

| Location: Hong Kong / Shenzhen

Experience: Graduate / Early Career 

| Openings: 10

About the Role:

You will design systems where multiple autonomous agents share state, communicate, negotiate objectives, and resolve conflicts in real industrial environments.

Key Focus:

• Architecture: Design agent roles (pricing, inventory, etc.) and lifecycle management.

• Coordination: Build inter-agent communication protocols and negotiation frameworks.

• Optimization: Apply multi-agent reinforcement learning (MARL) for global outcomes.

• Systems: Build multi-agent simulation/replay environments and observability tools.

Ideal Experience:

• Experience with complex/distributed systems or agent architectures; Strong Python.

• Understanding of game theory fundamentals and system-level abstraction.

• Nice to have: MARL, Mechanism design, or Enterprise-scale architecture.

• Tech Stack: Python, PyTorch, Distributed systems, Multi-agent frameworks.